ModelsLac: Perform model fitting and weight assignment based on different strategies for each individual ID

Description

Perform model fitting and weight assignment based on different strategies for each individual ID

ModelsLac(
  data,
  ID_col,
  ID,
  trait,
  dim,
  alpha,
  models,
  param_list = NULL,
  silent = silent
)

A list containing the fitted models, model weights and ranks, and the predicted daily production obtained through the model ensemble

data: A data frame containing the daily milking records
ID_col: The name of the column containing the unique IDs of the individuals
ID: The individual ID being analyzed
trait: The name of the column containing daily milking records
dim: The name of the column containing days in milk (DIM) records
alpha: A penalization factor ranging from 0 to 1, used in the estimation of the model weights
models: A vector describing the models to be included in the analysis. A total of 47 models are available in EMOTIONS. The default option is "All", which includes all 47 models. Alternatively, a subset of the following models can be provided: "MMR", "MME", "brody23", "brody24", "SCH", "SCHL", "PBE", "wood", "DHA", "CB", "QP", "CLD", "PapBo1", "PapBo2", "PapBo3", "PapBo4", "PapBo6", "GS1", "GS2", "LQ", "wil", "wilk", "wilycsml", "BC", "DJK", "MG2", "MG4", "MG", "KHN", "AS", "FRP", "PTmult", "PTmod", "MonoG", "MonoGpw", "DiG", "DiGpw", "legpol3", "legpol4", "legpolWil", "cubsplin3", "cubsplin4", "cubsplin5", "cubsplindef", "wilminkPop", "qntReg"
param_list: A list containing the models (named as in the `models` parameter) and their respective parameters
silent: A logical value indicating whether warnings should be suppressed during model fitting. The default is TRUE (warnings are not printed)